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by Ir. Charles Beumier
In Computational Intelligence for Homeland Security and Safety
ftp://ftp.elec.rma.ac.be/user/beumier/PAPERS/imaging.ps.gz
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Abstract:
This paper describes the activities of the RMA/SIC department in the field of Automatic Face Recognition, involving a frontal, a profile and a surface approach. After outlining the difficulties encountered while looking for robust lighting- and pose-invariant features in the frontal face analysis, a prototype for automatic profile identification is presented. This prototype benefits from the simplicity and quickness of contour analysis and allows to demonstrate real-time identification. This geometrical approach is further investigated by considering the capture and comparison of 3D facial surfaces. A cheap and fast 3D acquisition system has been developed and a recognition approach has been designed based on the extraction of planar profiles. From the presentation of the three approaches we conclude that a face recognition system should integrate 3D capabilities in order to benefit from the complementarity of the geometrical and gray-level information. Furthermore, the 3D analysis brings robust features and can help normalise a gray-level approach that would otherwise largely depend on illumination and point of view. 1.
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